Scale-free topology optimization for software-defined wireless sensor networks: A cyber-physical system
Due to the limited resource and vulnerability in wireless sensor networks, maximizing the network lifetime and improving network survivability have become the top priority problem in network topology optimization. This article presents a wireless sensor networks topology optimization model based on...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2017-06-01
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| Series: | International Journal of Distributed Sensor Networks |
| Online Access: | https://doi.org/10.1177/1550147717713626 |
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| _version_ | 1832555304268595200 |
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| author | Ru Huang Xiaoli Chu Jie Zhang Yu Hen Hu |
| author_facet | Ru Huang Xiaoli Chu Jie Zhang Yu Hen Hu |
| author_sort | Ru Huang |
| collection | DOAJ |
| description | Due to the limited resource and vulnerability in wireless sensor networks, maximizing the network lifetime and improving network survivability have become the top priority problem in network topology optimization. This article presents a wireless sensor networks topology optimization model based on complex network theory and cyber-physical systems using software-defined wireless sensor network architecture. The multiple-factor-driven virtual force field and network division–oriented particle swarm algorithm are introduced into the deployment strategy of super-node for the implementation in wireless sensor networks topology initialization, which help to rationally allocate heterogeneous network resources and balance the energy consumption in wireless sensor networks. Furthermore, the preferential attachment scheme guided by corresponding priority of crucial sensors is added into scale-free structure for optimization in topology evolution process and for protection of vulnerable nodes in wireless sensor networks. Software-defined wireless sensor network–based functional architecture is adopted to optimize the network evolution rules and algorithm parameters using information cognition and flow-table configure mode. The theoretical analysis and experimental results demonstrate that the proposed wireless sensor networks topology optimization model possesses both the small-world effect and the scale-free property, which can contribute to extend the lifetime of wireless sensor networks with energy efficiency and improve the robustness of wireless sensor networks with structure invulnerability. |
| format | Article |
| id | doaj-art-36b276b3791c4190ad7b8bc026b4f06f |
| institution | Kabale University |
| issn | 1550-1477 |
| language | English |
| publishDate | 2017-06-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Distributed Sensor Networks |
| spelling | doaj-art-36b276b3791c4190ad7b8bc026b4f06f2025-02-03T05:48:32ZengWileyInternational Journal of Distributed Sensor Networks1550-14772017-06-011310.1177/1550147717713626Scale-free topology optimization for software-defined wireless sensor networks: A cyber-physical systemRu Huang0Xiaoli Chu1Jie Zhang2Yu Hen Hu3School of Information Science and Engineering, East China University of Science and Technology, Shanghai, ChinaDepartment of Electronic and Electrical Engineering, The University of Sheffield, Sheffield, UKDepartment of Electronic and Electrical Engineering, The University of Sheffield, Sheffield, UKDepartment of Electrical & Computer Engineering, University of Wisconsin-Madison, Madison, WI, USADue to the limited resource and vulnerability in wireless sensor networks, maximizing the network lifetime and improving network survivability have become the top priority problem in network topology optimization. This article presents a wireless sensor networks topology optimization model based on complex network theory and cyber-physical systems using software-defined wireless sensor network architecture. The multiple-factor-driven virtual force field and network division–oriented particle swarm algorithm are introduced into the deployment strategy of super-node for the implementation in wireless sensor networks topology initialization, which help to rationally allocate heterogeneous network resources and balance the energy consumption in wireless sensor networks. Furthermore, the preferential attachment scheme guided by corresponding priority of crucial sensors is added into scale-free structure for optimization in topology evolution process and for protection of vulnerable nodes in wireless sensor networks. Software-defined wireless sensor network–based functional architecture is adopted to optimize the network evolution rules and algorithm parameters using information cognition and flow-table configure mode. The theoretical analysis and experimental results demonstrate that the proposed wireless sensor networks topology optimization model possesses both the small-world effect and the scale-free property, which can contribute to extend the lifetime of wireless sensor networks with energy efficiency and improve the robustness of wireless sensor networks with structure invulnerability.https://doi.org/10.1177/1550147717713626 |
| spellingShingle | Ru Huang Xiaoli Chu Jie Zhang Yu Hen Hu Scale-free topology optimization for software-defined wireless sensor networks: A cyber-physical system International Journal of Distributed Sensor Networks |
| title | Scale-free topology optimization for software-defined wireless sensor networks: A cyber-physical system |
| title_full | Scale-free topology optimization for software-defined wireless sensor networks: A cyber-physical system |
| title_fullStr | Scale-free topology optimization for software-defined wireless sensor networks: A cyber-physical system |
| title_full_unstemmed | Scale-free topology optimization for software-defined wireless sensor networks: A cyber-physical system |
| title_short | Scale-free topology optimization for software-defined wireless sensor networks: A cyber-physical system |
| title_sort | scale free topology optimization for software defined wireless sensor networks a cyber physical system |
| url | https://doi.org/10.1177/1550147717713626 |
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